---
dataset_info:
  pretty_name: OpenEuroLLM Defect Repair SFT v1
  license: cc-by-sa-4.0
---

# oellm-eu-defect-repair-sft-v1

Monolingual SFT repair data for European-language generation defects observed
after Qwen 2B/4B/9B post-training. This dataset is designed to repair
degeneration, repetition loops, short answers, morphology damage, and
Bulgarian/Russian language leakage.

## Strict SFT Schema

Each row in `data/*.jsonl` uses exactly:

```json
{"messages":[{"role":"user","content":"..."},{"role":"assistant","content":"..."}],"lang":"is"}
```

Provenance, source URL, license, source id, quality statistics, and hashes are
kept in `metadata/all_metadata.jsonl`, `source_registry.json`,
`metadata/quality_report.json`, and `manifest.json`.

## Source Policy

Version `v0.1.0` is built from native Wikipedia text via
`wikimedia/wikipedia` 2023-11-01 snapshots. Rows are not raw machine
translations. Prompt templates are short target-language instructions and
assistant turns are human-authored native article passages.

License: Wikimedia text is redistributed under CC-BY-SA terms, with attribution
and share-alike requirements. Keep the sidecar provenance files when using or
redistributing filtered subsets.

## Counts

- `bg`: 2000
- `da`: 3000
- `et`: 8000
- `fi`: 1000
- `ga`: 8000
- `hr`: 3000
- `hu`: 3000
- `is`: 8000
- `lt`: 3000
- `lv`: 3000
- `mt`: 7352
- `pl`: 1000
- `ro`: 1000
- `sk`: 3000
- `sl`: 3000

Total strict SFT rows: `57352`.

## Intended Use

Use as an upweighted repair shard in SFT:

- Tier 1 (`is`, `ga`, `mt`, `et`): high upweight for fluency and answer length.
- Tier 2 (`hr`, `sl`, `lt`, `lv`, `da`, `hu`, `sk`): medium upweight for loop repair.
- `bg`: anti-Russian leakage shard with Russian-marker filters.
- Tier 4 (`ro`, `pl`, `fi`): light touch-up.

Run `scripts/validate_defect_repair_sft.py --dataset-dir data/defect_repair/oellm-eu-defect-repair-sft-v1` before
packing to parquet or mixing into SFT.